Abstract
Given the increasing demand for rental housing units, suppliers have been forced to analyze methods to optimize both their inventory levels and opportunity losses. Although inventory forecasting and planning has been studied for several decades, studies on the circulation inventory problems are extremely limited. In this context, a discrete simulation-based approach to forecast inventory levels in a complex rental housing unit supply chain was developed. An interrelationship between the forecasting method, the initial inventory level and the inventory filling indicator was identified that can help suppliers to optimize their inventory level and opportunity losses. It is suggested that this simulation-based approach is a powerful and efficient tool for mangers involved in inventory decision making.
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